21 citations · 40 across the 9 of their papers we have counts for
4 papers · 1 filter
ReGrAt: Regularization in Graphs using Attention to handle class imbalance
Neeraja Kirtane, Jeshuren Chelladurai, Balaraman Ravindran +1
Node classification is an important task to solve in graph-based learning. Even though a lot of work has been done in this field, imbalance is neglected. Real-world data is not per…
GrabQC: Graph based Query Contextualization for automated ICD coding
Jeshuren Chelladurai, Sudarsun Santhiappan, Balaraman Ravindran
Automated medical coding is a process of codifying clinical notes to appropriate diagnosis and procedure codes automatically from the standard taxonomies such as ICD (International…
Multi-Variate Time Series Forecasting on Variable Subsets
Jatin Chauhan, Aravindan Raghuveer, Rishi Saket +2
We formulate a new inference task in the domain of multivariate time series forecasting (MTSF), called Variable Subset Forecast (VSF), where only a small subset of the variables is…
A Survey of Adversarial Defences and Robustness in NLP
Shreya Goyal, Sumanth Doddapaneni, Mitesh M. Khapra +1
In the past few years, it has become increasingly evident that deep neural networks are not resilient enough to withstand adversarial perturbations in input data, leaving them vuln…